Literature DB >> 25086933

Understanding LI-RADS: a primer for practical use.

Cynthia S Santillan1, An Tang2, Irene Cruite3, Amol Shah4, Claude B Sirlin5.   

Abstract

The Liver Imaging-Reporting and Data System (LI-RADS) is a comprehensive system for standardized interpretation and reporting of computed tomography and magnetic resonance examinations performed in patients at risk for hepatocellular carcinoma. LI-RADS includes a diagnostic algorithm, lexicon, and atlas as well as suggestions for reporting, management, and imaging techniques. This primer provides an introduction to LI-RADS for radiologists including an explanation of the diagnostic algorithm, descriptions of the categories, and definitions of the major imaging features used to categorize observations with case examples.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Hepatocellular carcinoma; LI-RADS; Liver; Magnetic resonance imaging

Mesh：

Year:  2014        PMID： 25086933     DOI： 10.1016/j.mric.2014.04.007

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN： 1064-9689            Impact factor:   2.266


  16 in total

1.  Use of the Liver Imaging Reporting and Data System in Hepatocellular Carcinoma.

Authors:  Claude Sirlin
Journal:  Gastroenterol Hepatol (N Y)       Date:  2017-06

2.  Performance of Gd-EOB-DTPA-enhanced MRI for the diagnosis of LI-RADS 4 category hepatocellular carcinoma nodules with different diameters.

Authors:  Qi Tang; Cong Ma
Journal:  Oncol Lett       Date:  2018-06-04       Impact factor: 2.967

3.  Early survival prediction after intra-arterial therapies: a 3D quantitative MRI assessment of tumour response after TACE or radioembolization of colorectal cancer metastases to the liver.

Authors:  Julius Chapiro; Rafael Duran; MingDe Lin; Rüdiger Schernthaner; David Lesage; Zhijun Wang; Lynn Jeanette Savic; Jean-François Geschwind
Journal:  Eur Radiol       Date:  2015-01-31       Impact factor: 5.315

4.  Imaging Techniques for Hepatocellular Carcinoma.

Authors:  Claude Sirlin
Journal:  Gastroenterol Hepatol (N Y)       Date:  2015-06

5.  Characterization of liver nodules in patients with chronic liver disease by MRI: performance of the Liver Imaging Reporting and Data System (LI-RADS v.2018) scale and its comparison with the Likert scale.

Authors:  Andrea Esposito; Valentina Buscarino; Dario Raciti; Elena Casiraghi; Matteo Manini; Pietro Biondetti; Laura Forzenigo
Journal:  Radiol Med       Date:  2019-10-05       Impact factor: 3.469

6.  A New Diagnostic Criterion with Gadoxetic Acid-Enhanced MRI May Improve the Diagnostic Performance for Hepatocellular Carcinoma.

Authors:  Yi Wei; Zheng Ye; Yuan Yuan; Zixing Huang; Xiaocheng Wei; Tong Zhang; Shang Wan; Hehan Tang; Xiaopeng He; Bin Song
Journal:  Liver Cancer       Date:  2020-04-14       Impact factor: 11.740

Review 7.  Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review.

Authors:  An Tang; Mustafa R Bashir; Michael T Corwin; Irene Cruite; Christoph F Dietrich; Richard K G Do; Eric C Ehman; Kathryn J Fowler; Hero K Hussain; Reena C Jha; Adib R Karam; Adrija Mamidipalli; Robert M Marks; Donald G Mitchell; Tara A Morgan; Michael A Ohliger; Amol Shah; Kim-Nhien Vu; Claude B Sirlin
Journal:  Radiology       Date:  2017-11-21       Impact factor: 11.105

8.  Liver imaging reporting and data system (LI-RADS) version 2014: understanding and application of the diagnostic algorithm.

Authors:  Chansik An; Gulbahor Rakhmonova; Jin-Young Choi; Myeong-Jin Kim
Journal:  Clin Mol Hepatol       Date:  2016-06

Review 9.  Major and ancillary magnetic resonance features of LI-RADS to assess HCC: an overview and update.

Authors:  Vincenza Granata; Roberta Fusco; Antonio Avallone; Orlando Catalano; Francesco Filice; Maddalena Leongito; Raffaele Palaia; Francesco Izzo; Antonella Petrillo
Journal:  Infect Agent Cancer       Date:  2017-04-28       Impact factor: 2.965

10.  Critical analysis of the major and ancillary imaging features of LI-RADS on 127 proven HCCs evaluated with functional and morphological MRI: Lights and shadows.

Authors:  Vincenza Granata; Roberta Fusco; Antonio Avallone; Francesco Filice; Fabiana Tatangelo; Mauro Piccirillo; Roberto Grassi; Francesco Izzo; Antonella Petrillo
Journal:  Oncotarget       Date:  2017-04-19
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